Bengaluru, India

Abdul Rawoof Lohar

USPTO Granted Patents = 2 

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Abdul Rawoof Lohar: Innovator in Hierarchical Datasets

Introduction

Abdul Rawoof Lohar, based in Bengaluru, India, is an accomplished inventor known for his innovative contributions in data handling and security. With two significant patents to his name, Lohar has demonstrated a strong commitment to advancing technology in the realm of hierarchical datasets.

Latest Patents

His most recent patent, titled "Efficient Traversal of Hierarchical Datasets", outlines a method that enhances user access management for data operations. The patent details a system where an entitlement cache is utilized to determine the operations a user ID is permitted to perform on specific data objects. By employing an object mapping cache, the method ensures secure access by comparing encoded tuples associated with user entitlements and object mappings. This innovation optimally manages user requests and enhances efficiency in hierarchical data traversal.

Career Highlights

Abdul Rawoof Lohar currently works with MetricStream, Inc., where he significantly contributes to the development of innovative solutions. His expertise in data management and security has positioned him as a valuable asset to his company. Lohar's inventive mind and analytical skills have led to impactful advancements in his field, reflecting his dedication to improving data accessibility and security.

Collaborations

Throughout his career, Lohar has collaborated with talented colleagues including Abdul Jaleel and Debdulal Samanta. These partnerships have fostered an environment of creativity and shared knowledge, allowing for effective teamwork in the development of innovative technologies.

Conclusion

Abdul Rawoof Lohar exemplifies the spirit of innovation in the tech industry. His patents and his role at MetricStream, Inc. highlight his commitment to improving data management practices. With his track record of contributions and collaborations, Lohar is poised to continue making strides in the field of hierarchical datasets and beyond.

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